Advancements in artificial intelligence have often stemmed from additional model training parameters. However, over the past year, the focus has shifted toward scaling AI inference, with larger token sets, reinforced learning, and chain-of-thought prompting all driving significant improvements in AI reasoning capabilities.

Xuesong Zhao, Lead Manager of the Polar Capital Artificial Intelligence Fund, explores these exciting developments, discussing what enhanced reasoning means for AI enablers and beneficiaries. He also shares his outlook on AI, covering both emerging use cases and the future of model development.